Amir Zandieh

Statistics

Publications

Citations

158

H-Index

Active since

2017

Affiliations

École Polytechnique Fédérale de Lausanne(Current)

Tel Aviv University

Massachusetts Institute of Technology

Amir Zandieh is an author at École Polytechnique Fédérale de Lausanne specializing in computer science, optimization for machine learning, and computing.

ORCID

Publications per year

2017–2018

Publications

Random Fourier Features for Kernel Ridge Regression: Approximation Bounds and Statistical Guarantees

Haim Avron, Michael Kapralov, Cameron Musco et al. · International Conference on Machine Learning · 2017 · 67 citations

Computing, Computer Science, Data Science +17

Beyond $1/2$-Approximation for Submodular Maximization on Massive Data Streams

Ashkan Norouzi-Fard, Jakub Tarnawski, Slobodan Mitrović et al. · arXiv (Cornell University) · 2018 · 38 citations · Full text

Computing, Computer Science, Algorithms +13

Random Fourier Features for Kernel Ridge Regression: Approximation Bounds and Statistical Guarantees

Haim Avron, Michael Kapralov, Cameron Musco et al. · arXiv (Cornell University) · 2018 · 27 citations · Full text

Computing, Computer Science, Data Science +17

An adaptive sublinear-time block sparse fourier transform

Volkan Cevher, Michael Kapralov, Jonathan Scarlett et al. · 2017 · 16 citations · Full text

Engineering, Computer Engineering, Computer Science +14

Beyond $1/2$-Approximation for Submodular Maximization on Massive Data Streams

Ashkan Norouzi-Fard, Jakub Tarnawski, Slobodan Mitrović et al. · arXiv (Cornell University) · 2018 · 10 citations · Full text

Computing, Computer Science, Algorithms +13

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